We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Job Title: Senior & Principal D365 Consultants (Finance/SCM/AWMS) Location: Home-based with travel to client site or Columbus offices as required Salary: Negotiable (We aim to improve your current package) Bonus: Yes- Marketing Leading (and we pay it to!) Holiday: 25 Days, Plus Bank Holidays (Increasing with Service) Medical Insurance: Yes (terms apply) plus additional HealthCashback Plan Hours: Full time (36.5 hpw) Travel/Expenses: A car is required for travel to client sites -expensed at 45p per mile from home address (excluding travel to any ColumbusOffice within 35mi) Gold Partner and Inner Circle Due to a number of new projects we are hiring a range of Senior and Principal Microsoft Dynamics D365 Functional professionals for H1 - looking for something new in 2026 then we want to hear from you! THRIVE, GROW and SHAPE THE FUTURE People always come first at Columbus. We're a global digital consultancy with a local presence, helping businesses transform and thrive through technology, data, and human insight. Just as importantly, we're a workplace where careers are nurtured and development is supported through clear, structured career paths. Our culture is built on trust, collaboration, curiosity, and a shared commitment to delivering customer success. Whether you're an experienced professional or just starting out, you'll find the freedom to explore ideas, challenge convention, and shape your own path. Let's thrive, grow, and shape the future together. Diversity and Inclusion are close to our hearts. We provide equal opportunities for everyone, ensuring a level playing field for all candidates. We actively encourage applications from all backgrounds to apply for positions across our organisation, and in return, we will give you the tools and support to Thrive with us, Grow your Skillsets, and be empowered to Shape the Future. Travel and Hybrid Working We have an environment that gives you the flexibility to achieve an effective work-life balance for you and your family, whether you want to work from home or at one of our luxury Cubo offices around the UK. We continue to offer our customers onsite consultancy time if requested, so flexibility around travel and overnight stays is expected, dependent on the project requirements. Onsite time is planned ahead of time, within 2-week blocks, so you know well in advance where you will be working. We encourage those in customer-facing roles to aim to come into the office at least once a month, and also team meetings and client meetings; however, you can work from Nottingham HQ or any Cubo office regularly if you prefer, whichever suits you. About You (The Essentials) Multiple D365 ERP Implementations Experience (F/SCM) A number of years Partner / Consultant Experience in delivering complex projects lasting multiple years Full driver's licence and access to a vehicle a must Curious, looking to challenge the status quo and improve Collaborates well with both internal and external colleagues Committed to personal development and becoming a Trusted Advisor in your field. What we can offer You will be a part of both a local and global team, where you not only share knowledge but also a laugh or two. We value our employees and leave room for flexibility so that you can enjoy a work-life balance. At Columbus you will get; 25 Days Annual Leave (Increasing with Service) Columbus Benefits Hub - Discounts on Tickets, Shopping, Car leasing, Holidays, Food and Enhanced Maternity Pay / Sick Pay Access to Free Training Courses Delivered by Columbus Academy Free Microsoft Certifications and access to Microsoft Learn Modern Airconditioned Office Spaces fully managed by Cubo (multiple UK locations) Free Barista Coffee and hot drinks made in-house Free Beer and Fizz every day (2 - 5pm) Casual Dress Code in our Offices Personal Pension Plan Life Assurance x4 Salary Cycle-to-Work Scheme £2,500 payment for successful candidate referrals Flexi-phone upgrade scheme (if eligible) Plus many many more (check out our careers pages for details) Employee Wellbeing Program (terms apply) Free 24/7 Access to Cubo Gym(s) Vitality Medical Insurance Westfield Health Cash plan (includes an Employee Assistance Lines) Mental health first aiders Virtual suggestion boxes Next Steps If this sounds like the role for you, then please drop a copy of your CV over today via our website and "Apply for this job" or CV not up-to-date? then apply using your LinkedIn profile in seconds. You may also be prompted to "Connect with us", but please don't worry if you don't have the time; it does not impact your application. In the meantime, check us out on Instagram or LinkedIn STAY CURIOUS, COLLABORATE, BUILD TRUST, and DELIVER CUSTOMER SUCCESS Suitable for candidates working with/as: D365, AX, F&O, F/SCM, BC, Business Central Functional Consultant, Architect, Solutions SaaS As a Microsoft Gold Partner for over 20 years, Columbus has access to a range of market-leading resources, training and certifications. As well as a host of awards, Columbus has twice been named partner of the year by Microsoft. As Microsoft Inner Circle members, Columbus has been recognised as part of an elite category of partners. This honour is only awarded to the very best in the industry for thought leadership, innovation and dedication, with Inner Circle partners representing only the Top 1% of the Microsoft ecosystem.
May 05, 2026
Full time
Job Title: Senior & Principal D365 Consultants (Finance/SCM/AWMS) Location: Home-based with travel to client site or Columbus offices as required Salary: Negotiable (We aim to improve your current package) Bonus: Yes- Marketing Leading (and we pay it to!) Holiday: 25 Days, Plus Bank Holidays (Increasing with Service) Medical Insurance: Yes (terms apply) plus additional HealthCashback Plan Hours: Full time (36.5 hpw) Travel/Expenses: A car is required for travel to client sites -expensed at 45p per mile from home address (excluding travel to any ColumbusOffice within 35mi) Gold Partner and Inner Circle Due to a number of new projects we are hiring a range of Senior and Principal Microsoft Dynamics D365 Functional professionals for H1 - looking for something new in 2026 then we want to hear from you! THRIVE, GROW and SHAPE THE FUTURE People always come first at Columbus. We're a global digital consultancy with a local presence, helping businesses transform and thrive through technology, data, and human insight. Just as importantly, we're a workplace where careers are nurtured and development is supported through clear, structured career paths. Our culture is built on trust, collaboration, curiosity, and a shared commitment to delivering customer success. Whether you're an experienced professional or just starting out, you'll find the freedom to explore ideas, challenge convention, and shape your own path. Let's thrive, grow, and shape the future together. Diversity and Inclusion are close to our hearts. We provide equal opportunities for everyone, ensuring a level playing field for all candidates. We actively encourage applications from all backgrounds to apply for positions across our organisation, and in return, we will give you the tools and support to Thrive with us, Grow your Skillsets, and be empowered to Shape the Future. Travel and Hybrid Working We have an environment that gives you the flexibility to achieve an effective work-life balance for you and your family, whether you want to work from home or at one of our luxury Cubo offices around the UK. We continue to offer our customers onsite consultancy time if requested, so flexibility around travel and overnight stays is expected, dependent on the project requirements. Onsite time is planned ahead of time, within 2-week blocks, so you know well in advance where you will be working. We encourage those in customer-facing roles to aim to come into the office at least once a month, and also team meetings and client meetings; however, you can work from Nottingham HQ or any Cubo office regularly if you prefer, whichever suits you. About You (The Essentials) Multiple D365 ERP Implementations Experience (F/SCM) A number of years Partner / Consultant Experience in delivering complex projects lasting multiple years Full driver's licence and access to a vehicle a must Curious, looking to challenge the status quo and improve Collaborates well with both internal and external colleagues Committed to personal development and becoming a Trusted Advisor in your field. What we can offer You will be a part of both a local and global team, where you not only share knowledge but also a laugh or two. We value our employees and leave room for flexibility so that you can enjoy a work-life balance. At Columbus you will get; 25 Days Annual Leave (Increasing with Service) Columbus Benefits Hub - Discounts on Tickets, Shopping, Car leasing, Holidays, Food and Enhanced Maternity Pay / Sick Pay Access to Free Training Courses Delivered by Columbus Academy Free Microsoft Certifications and access to Microsoft Learn Modern Airconditioned Office Spaces fully managed by Cubo (multiple UK locations) Free Barista Coffee and hot drinks made in-house Free Beer and Fizz every day (2 - 5pm) Casual Dress Code in our Offices Personal Pension Plan Life Assurance x4 Salary Cycle-to-Work Scheme £2,500 payment for successful candidate referrals Flexi-phone upgrade scheme (if eligible) Plus many many more (check out our careers pages for details) Employee Wellbeing Program (terms apply) Free 24/7 Access to Cubo Gym(s) Vitality Medical Insurance Westfield Health Cash plan (includes an Employee Assistance Lines) Mental health first aiders Virtual suggestion boxes Next Steps If this sounds like the role for you, then please drop a copy of your CV over today via our website and "Apply for this job" or CV not up-to-date? then apply using your LinkedIn profile in seconds. You may also be prompted to "Connect with us", but please don't worry if you don't have the time; it does not impact your application. In the meantime, check us out on Instagram or LinkedIn STAY CURIOUS, COLLABORATE, BUILD TRUST, and DELIVER CUSTOMER SUCCESS Suitable for candidates working with/as: D365, AX, F&O, F/SCM, BC, Business Central Functional Consultant, Architect, Solutions SaaS As a Microsoft Gold Partner for over 20 years, Columbus has access to a range of market-leading resources, training and certifications. As well as a host of awards, Columbus has twice been named partner of the year by Microsoft. As Microsoft Inner Circle members, Columbus has been recognised as part of an elite category of partners. This honour is only awarded to the very best in the industry for thought leadership, innovation and dedication, with Inner Circle partners representing only the Top 1% of the Microsoft ecosystem.
A leading consultancy firm is seeking a Senior Consultant to establish and implement Power Automate governance standards across the organization. This role is vital for ensuring the secure and compliant adoption of automation solutions. Key responsibilities include designing governance frameworks, defining best practices, and conducting audits of automation flows. The ideal candidate will have proven expertise in Microsoft Power Platform, automation governance, and strong stakeholder management skills, along with preferred Microsoft Power Platform certifications.
May 05, 2026
Full time
A leading consultancy firm is seeking a Senior Consultant to establish and implement Power Automate governance standards across the organization. This role is vital for ensuring the secure and compliant adoption of automation solutions. Key responsibilities include designing governance frameworks, defining best practices, and conducting audits of automation flows. The ideal candidate will have proven expertise in Microsoft Power Platform, automation governance, and strong stakeholder management skills, along with preferred Microsoft Power Platform certifications.
Director Consulting Expert - AI & Data Position Description At CGI, we harness data and artificial intelligence to solve complex business challenges and deliver meaningful outcomes for our clients. As a Director of Consulting Excellence for Data and AI, you will shape high-impact solutions, guide strategic growth, and elevate how organisations use AI to innovate and compete. Working at the forefront of emerging technologies, you will collaborate with experts across CGI to design forward-thinking approaches, influence client transformation, and build trusted partnerships. This is an opportunity to take ownership of industry-leading initiatives, contribute to a culture that values creativity and insight, and be supported in driving measurable success for both clients and your own career. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Your future duties and responsibilities In this role, you will lead the design and delivery of data and AI solutions that solve complex client challenges and generate tangible business value. You will act as a trusted advisor, shaping strategies, influencing stakeholders, and ensuring successful outcomes across engagements. By combining technical expertise with commercial insight, you will contribute to business growth while strengthening long-term client relationships. You will also play a key role in developing CGI's Data and AI consulting capability, contributing to innovation, reusable assets, and thought leadership. Working collaboratively across teams, you will help foster an environment where new ideas are encouraged, ownership is valued, and individuals are supported to deliver their best work. Lead & Innovate: Shape AI and data strategies, designing impactful, scalable solutions Develop & Deliver: Oversee end-to-end delivery of engagements, ensuring quality, value, and timeliness Engage & Influence: Build trusted client relationships and communicate complex concepts clearly Grow & Expand: Identify opportunities, support proposals, and contribute to business development Optimise & Enhance: Drive continuous improvement, governance, and adoption of best practices Share & Mentor: Contribute to capability growth, knowledge sharing, and thought leadership Required qualifications to be successful in this role To succeed, you will bring a strong blend of technical expertise, consulting experience, and the ability to translate complex AI and data concepts into business value. You will be confident engaging with stakeholders, leading initiatives, and contributing to both delivery excellence and strategic growth. You should have proven experience as a Data or AI Solution Architect or similar leadership role Strong proficiency in AI, machine learning, and data platforms (e.g., MS Fabric, Databricks) Experience with AI frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP) Familiarity with modern AI ecosystems (e.g., Microsoft AI Foundry, AWS Bedrock, Google Vertex, agentic AI) Proven ability to design and deliver complex, client-facing solutions Excellent communication skills, with the ability to engage technical and non-technical stakeholders Bachelor's degree in Computer Science, Data Science, AI, or a related field Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
May 05, 2026
Full time
Director Consulting Expert - AI & Data Position Description At CGI, we harness data and artificial intelligence to solve complex business challenges and deliver meaningful outcomes for our clients. As a Director of Consulting Excellence for Data and AI, you will shape high-impact solutions, guide strategic growth, and elevate how organisations use AI to innovate and compete. Working at the forefront of emerging technologies, you will collaborate with experts across CGI to design forward-thinking approaches, influence client transformation, and build trusted partnerships. This is an opportunity to take ownership of industry-leading initiatives, contribute to a culture that values creativity and insight, and be supported in driving measurable success for both clients and your own career. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Your future duties and responsibilities In this role, you will lead the design and delivery of data and AI solutions that solve complex client challenges and generate tangible business value. You will act as a trusted advisor, shaping strategies, influencing stakeholders, and ensuring successful outcomes across engagements. By combining technical expertise with commercial insight, you will contribute to business growth while strengthening long-term client relationships. You will also play a key role in developing CGI's Data and AI consulting capability, contributing to innovation, reusable assets, and thought leadership. Working collaboratively across teams, you will help foster an environment where new ideas are encouraged, ownership is valued, and individuals are supported to deliver their best work. Lead & Innovate: Shape AI and data strategies, designing impactful, scalable solutions Develop & Deliver: Oversee end-to-end delivery of engagements, ensuring quality, value, and timeliness Engage & Influence: Build trusted client relationships and communicate complex concepts clearly Grow & Expand: Identify opportunities, support proposals, and contribute to business development Optimise & Enhance: Drive continuous improvement, governance, and adoption of best practices Share & Mentor: Contribute to capability growth, knowledge sharing, and thought leadership Required qualifications to be successful in this role To succeed, you will bring a strong blend of technical expertise, consulting experience, and the ability to translate complex AI and data concepts into business value. You will be confident engaging with stakeholders, leading initiatives, and contributing to both delivery excellence and strategic growth. You should have proven experience as a Data or AI Solution Architect or similar leadership role Strong proficiency in AI, machine learning, and data platforms (e.g., MS Fabric, Databricks) Experience with AI frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP) Familiarity with modern AI ecosystems (e.g., Microsoft AI Foundry, AWS Bedrock, Google Vertex, agentic AI) Proven ability to design and deliver complex, client-facing solutions Excellent communication skills, with the ability to engage technical and non-technical stakeholders Bachelor's degree in Computer Science, Data Science, AI, or a related field Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
GCP Cloud Network Engineer - 6-Month Contract - Hybrid (Bristol, Leeds, Halifax, Manchester, or Edinburgh) We are looking for an experienced GCP Cloud Network Engineer to support teams in delivering modern, scalable cloud networking solutions on Google Cloud Platform. In this role, you'll help design, build, and modernise the Virtual Data Centre (VDC) network layer, curate reusable GCP cloud products using Infrastructure as Code (IaC), and drive best practices in cloud networking and DevOps automation. Key Responsibilities Design, implement, and manage GCP Virtual Data Centre (VDC) network architectures for enterprise workloads Configure and maintain VPCs, subnets, Firewall rules, routing, and VPC peering to ensure secure and scalable connectivity Implement hybrid connectivity solutions, including Cloud VPN and Interconnect, for on-prem and multi-cloud integration Develop and maintain Infrastructure as Code (IaC) for network resources using Terraform/Terraform Cloud Automate network provisioning and configuration using Python Scripting Enforce GCP Organisation Policies to meet security and compliance requirements (IP restrictions, encryption, access control) What You Will Ideally Bring Strong hands-on experience with GCP Networking (VPCs, subnets, Firewall rules, routing, peering) Proven expertise in Hybrid Connectivity (Cloud VPN, Interconnect) Solid experience using Terraform/Terraform Cloud for IaC Python Scripting for automation and orchestration Familiarity with CI/CD tools such as Jenkins, GitHub, or Harness Contract Details Duration: 6 months (with potential extension) Day Rate: Up to £500 per day (Inside IR35) Location: - Hybrid (2 days onsite per week) - Bristol, Leeds, Halifax, Manchester, or Edinburgh Start Date: ASAP
May 05, 2026
Contractor
GCP Cloud Network Engineer - 6-Month Contract - Hybrid (Bristol, Leeds, Halifax, Manchester, or Edinburgh) We are looking for an experienced GCP Cloud Network Engineer to support teams in delivering modern, scalable cloud networking solutions on Google Cloud Platform. In this role, you'll help design, build, and modernise the Virtual Data Centre (VDC) network layer, curate reusable GCP cloud products using Infrastructure as Code (IaC), and drive best practices in cloud networking and DevOps automation. Key Responsibilities Design, implement, and manage GCP Virtual Data Centre (VDC) network architectures for enterprise workloads Configure and maintain VPCs, subnets, Firewall rules, routing, and VPC peering to ensure secure and scalable connectivity Implement hybrid connectivity solutions, including Cloud VPN and Interconnect, for on-prem and multi-cloud integration Develop and maintain Infrastructure as Code (IaC) for network resources using Terraform/Terraform Cloud Automate network provisioning and configuration using Python Scripting Enforce GCP Organisation Policies to meet security and compliance requirements (IP restrictions, encryption, access control) What You Will Ideally Bring Strong hands-on experience with GCP Networking (VPCs, subnets, Firewall rules, routing, peering) Proven expertise in Hybrid Connectivity (Cloud VPN, Interconnect) Solid experience using Terraform/Terraform Cloud for IaC Python Scripting for automation and orchestration Familiarity with CI/CD tools such as Jenkins, GitHub, or Harness Contract Details Duration: 6 months (with potential extension) Day Rate: Up to £500 per day (Inside IR35) Location: - Hybrid (2 days onsite per week) - Bristol, Leeds, Halifax, Manchester, or Edinburgh Start Date: ASAP
About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role The Cognitive Automation Factory Ecosystem and Operations Lead is a senior leadership role responsible for the end-to-end operational performance, ecosystem management, and strategic evolution of the Group's Cognitive Automation Factory. This role is effectively the operational backbone and successor-level counterpart to the Head of Cognitive Automation. It ensures that the CAF operates as a high-performance, multi-technology, multi-partner industrial engine capable of delivering 8-figure business benefits through applied AI and automation. The successful candidate will combine deep automation expertise, enterprise-grade delivery leadership, and strong commercial acumen to: Lead large, blended teams (internal and external) Engage senior stakeholders across operating companies Manage strategic technology and delivery partners Own operational governance, standards, and performance metrics Drive sustainable, measurable EBIT impact Your responsibilities 1. Factory Leadership & Operational Excellence Lead the operational performance of the Cognitive Automation Factory across the Group. Industrialise AI and automation delivery through standardised engineering practices, governance, quality controls and reusable frameworks. Ensure predictable, high-quality delivery across multiple concurrent programmes and products. Own delivery economics, capacity planning, utilisation, and multi-shore optimisation. 2. Business Value & Benefits Realisation Ensure all AI and automation initiatives are anchored in measurable business value. Track and govern realised vs. forecast benefits (cost-out, productivity, error reduction, revenue enablement). Act as a senior escalation point for underperforming initiatives. Partner with Finance and OpCo stakeholders to validate tangible benefits delivered. 3. Ecosystem & Partner Management Lead and optimise a blended ecosystem of strategic partners and internal engineering squads. Manage commercial performance, contractual KPIs, and delivery standards. Ensure knowledge transfer and capability uplift within the internal team. Maintain a competitive, scalable, and innovation-led partner model. 4. Technology & Architecture Governance Provide senior oversight across the automation and AI technology stack, including: o RPA platforms (e.g., UiPath, Power Automate) o AWS-based cloud-native architectureso Agentic AI frameworks (Agent Core, LangChain, LangGraph) o Large Language Models (multi-model strategy) o Orchestration frameworks and event-driven architectures o Document AI and extraction (e.g., Berdock)o EVAL frameworks and LLM evaluation methodologies o Observability, monitoring and guardrails for AI agents Ensure scalable, secure, compliant and production-grade solutions. Champion best practices in AI governance, risk management, and model lifecycle management. 5. Senior Stakeholder Engagement Engage senior leaders across operating companies at Director and C-level. Translate AI and automation capabilities into business language. Influence prioritisation decisions and roadmap alignment across the Group. Represent the CAF in senior governance forums. 6. Talent & Capability Development Build and mentor high-performing automation and AI delivery leaders. Establish clear career paths and succession planning within the CAF. Foster a culture of engineering excellence, accountability, and measurable impact. Drive continuous capability uplift across RPA, AI, and agentic systems. Your skills, experience and qualifications Essential Experience 12+ years' experience in enterprise technology delivery, with at least 7+ years leading large-scale automation or AI programmes. Proven track record of delivering significant, tangible business benefits through applied AI and automation. Experience managing multi-disciplinary teams combining internal staff and strategic delivery partners. Experience operating at senior stakeholder level (Director/C-level engagement). Strong commercial acumen, including budget ownership and benefits tracking. Technical Depth (Non-Hands-On but Credible) The candidate must have sufficient depth to challenge architects and engineers credibly, even if not coding daily. Demonstrated expertise in: RPA platforms such as UiPath and Power Automate Cloud-native architectures (preferably AWS) Agentic AI frameworks (LangChain, LangGraph, agent orchestration) Multi-LLM strategies and model selection EVAL frameworks for LLM/agent performance Observability, logging, guardrails and governance for AI agents Workflow orchestration and integration patterns Enterprise-grade security and compliance considerations for AI systems Desirable Experience within aviation, transportation, logistics, or other complex operational industries. Experience scaling an AI or automation factory model. Exposure to regulated environments. Knowledge of EU AI Act and enterprise AI governance frameworks. Personal Attributes Strategic thinker with strong operational discipline. Calm under pressure in complex, multi-stakeholder environments. Commercially sharp, data-driven, and outcome-oriented. High credibility with both engineers and executives. Not dazzled by hype. Focused on value. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
May 05, 2026
Full time
About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role The Cognitive Automation Factory Ecosystem and Operations Lead is a senior leadership role responsible for the end-to-end operational performance, ecosystem management, and strategic evolution of the Group's Cognitive Automation Factory. This role is effectively the operational backbone and successor-level counterpart to the Head of Cognitive Automation. It ensures that the CAF operates as a high-performance, multi-technology, multi-partner industrial engine capable of delivering 8-figure business benefits through applied AI and automation. The successful candidate will combine deep automation expertise, enterprise-grade delivery leadership, and strong commercial acumen to: Lead large, blended teams (internal and external) Engage senior stakeholders across operating companies Manage strategic technology and delivery partners Own operational governance, standards, and performance metrics Drive sustainable, measurable EBIT impact Your responsibilities 1. Factory Leadership & Operational Excellence Lead the operational performance of the Cognitive Automation Factory across the Group. Industrialise AI and automation delivery through standardised engineering practices, governance, quality controls and reusable frameworks. Ensure predictable, high-quality delivery across multiple concurrent programmes and products. Own delivery economics, capacity planning, utilisation, and multi-shore optimisation. 2. Business Value & Benefits Realisation Ensure all AI and automation initiatives are anchored in measurable business value. Track and govern realised vs. forecast benefits (cost-out, productivity, error reduction, revenue enablement). Act as a senior escalation point for underperforming initiatives. Partner with Finance and OpCo stakeholders to validate tangible benefits delivered. 3. Ecosystem & Partner Management Lead and optimise a blended ecosystem of strategic partners and internal engineering squads. Manage commercial performance, contractual KPIs, and delivery standards. Ensure knowledge transfer and capability uplift within the internal team. Maintain a competitive, scalable, and innovation-led partner model. 4. Technology & Architecture Governance Provide senior oversight across the automation and AI technology stack, including: o RPA platforms (e.g., UiPath, Power Automate) o AWS-based cloud-native architectureso Agentic AI frameworks (Agent Core, LangChain, LangGraph) o Large Language Models (multi-model strategy) o Orchestration frameworks and event-driven architectures o Document AI and extraction (e.g., Berdock)o EVAL frameworks and LLM evaluation methodologies o Observability, monitoring and guardrails for AI agents Ensure scalable, secure, compliant and production-grade solutions. Champion best practices in AI governance, risk management, and model lifecycle management. 5. Senior Stakeholder Engagement Engage senior leaders across operating companies at Director and C-level. Translate AI and automation capabilities into business language. Influence prioritisation decisions and roadmap alignment across the Group. Represent the CAF in senior governance forums. 6. Talent & Capability Development Build and mentor high-performing automation and AI delivery leaders. Establish clear career paths and succession planning within the CAF. Foster a culture of engineering excellence, accountability, and measurable impact. Drive continuous capability uplift across RPA, AI, and agentic systems. Your skills, experience and qualifications Essential Experience 12+ years' experience in enterprise technology delivery, with at least 7+ years leading large-scale automation or AI programmes. Proven track record of delivering significant, tangible business benefits through applied AI and automation. Experience managing multi-disciplinary teams combining internal staff and strategic delivery partners. Experience operating at senior stakeholder level (Director/C-level engagement). Strong commercial acumen, including budget ownership and benefits tracking. Technical Depth (Non-Hands-On but Credible) The candidate must have sufficient depth to challenge architects and engineers credibly, even if not coding daily. Demonstrated expertise in: RPA platforms such as UiPath and Power Automate Cloud-native architectures (preferably AWS) Agentic AI frameworks (LangChain, LangGraph, agent orchestration) Multi-LLM strategies and model selection EVAL frameworks for LLM/agent performance Observability, logging, guardrails and governance for AI agents Workflow orchestration and integration patterns Enterprise-grade security and compliance considerations for AI systems Desirable Experience within aviation, transportation, logistics, or other complex operational industries. Experience scaling an AI or automation factory model. Exposure to regulated environments. Knowledge of EU AI Act and enterprise AI governance frameworks. Personal Attributes Strategic thinker with strong operational discipline. Calm under pressure in complex, multi-stakeholder environments. Commercially sharp, data-driven, and outcome-oriented. High credibility with both engineers and executives. Not dazzled by hype. Focused on value. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
Current Accounts Jr. Architect Industry: Banking Location: Knutsford, UK Contract Duration: 8 Months Work Setup: Hybrid - 2-3 days onsite per week Rate: £450-£490/day Inside IR35 Role Overview We are seeking a Current Accounts Jr. Architect with strong experience in the Banking sector , specifically across Current Accounts and Packaged/Paid-for Accounts . This role requires expertise in solution architecture, account life cycle management, onboarding, servicing, charging, and account maintenance across retail banking platforms. The successful candidate will work closely with product, engineering, and business teams to design scalable and compliant solutions across a multi-platform environment. Key Responsibilities Design architecture solutions for Current Account and Packaged Account journeys, including onboarding, servicing, charging, and account maintenance. Produce high-level and low-level architecture artefacts aligned with enterprise standards. Collaborate with Product Owners, Business Analysts, Engineering Leads, and SMEs to define functional and non-functional requirements. Support platform modernisation initiatives, including Legacy transformation and API-led integration. Review and improve existing architecture for scalability, compliance, performance, and security. Ensure alignment with regulatory, security, and integration standards. Partner with teams across payments, statements, digital channels, fraud/risk, and customer communications. Support engineering teams during delivery to ensure alignment with architectural design. Required Skills & Experience Strong experience in banking technology with architecture experience in retail banking environments. Expertise in Current Accounts , including: Packaged/Paid-for Accounts Monthly charging rules Benefits eligibility Account life cycle management Onboarding and servicing Overdrafts, mandates, and account switching Experience delivering large-scale transformation programmes across core banking or customer servicing platforms. Strong understanding of: Solution architecture API integration Microservices Event-driven architecture Experience working in Agile delivery environments. Strong stakeholder management and communication skills. Nice to Have Exposure to regulatory and compliance requirements in retail banking. Experience with packaged account benefits integrations such as insurance or membership services. If this matches your skills and background, please apply today!
May 05, 2026
Contractor
Current Accounts Jr. Architect Industry: Banking Location: Knutsford, UK Contract Duration: 8 Months Work Setup: Hybrid - 2-3 days onsite per week Rate: £450-£490/day Inside IR35 Role Overview We are seeking a Current Accounts Jr. Architect with strong experience in the Banking sector , specifically across Current Accounts and Packaged/Paid-for Accounts . This role requires expertise in solution architecture, account life cycle management, onboarding, servicing, charging, and account maintenance across retail banking platforms. The successful candidate will work closely with product, engineering, and business teams to design scalable and compliant solutions across a multi-platform environment. Key Responsibilities Design architecture solutions for Current Account and Packaged Account journeys, including onboarding, servicing, charging, and account maintenance. Produce high-level and low-level architecture artefacts aligned with enterprise standards. Collaborate with Product Owners, Business Analysts, Engineering Leads, and SMEs to define functional and non-functional requirements. Support platform modernisation initiatives, including Legacy transformation and API-led integration. Review and improve existing architecture for scalability, compliance, performance, and security. Ensure alignment with regulatory, security, and integration standards. Partner with teams across payments, statements, digital channels, fraud/risk, and customer communications. Support engineering teams during delivery to ensure alignment with architectural design. Required Skills & Experience Strong experience in banking technology with architecture experience in retail banking environments. Expertise in Current Accounts , including: Packaged/Paid-for Accounts Monthly charging rules Benefits eligibility Account life cycle management Onboarding and servicing Overdrafts, mandates, and account switching Experience delivering large-scale transformation programmes across core banking or customer servicing platforms. Strong understanding of: Solution architecture API integration Microservices Event-driven architecture Experience working in Agile delivery environments. Strong stakeholder management and communication skills. Nice to Have Exposure to regulatory and compliance requirements in retail banking. Experience with packaged account benefits integrations such as insurance or membership services. If this matches your skills and background, please apply today!
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are hiring a AI Engineering Product Manager for our Multi-Tech Agentic Engineering team to lead the technical direction, engineering discipline and delivery velocity of IAG's next generation of agentic AI products. This is a hands-on senior technical leadership role. You must have real experience leading teams that build production-grade AI agents, not just theoretical experiments or hackathon projects. You will be the technical authority across agent frameworks, orchestration patterns, memory design and guardrails. You will report to the Group Head of Technology and work within the product oversight of the Group Head of Cognitive Automation. You will shape how we build, scale and operate a multi-vendor agent ecosystem across OpenAI, Anthropic, Microsoft Azure, LangGraph, AutoGen and other emerging frameworks. You will also lead in a matrix environment, working across multiple airlines, central teams, external partners and offshore/nearshore engineering units. You must be comfortable directing both internal engineering teams and partner-led delivery teams, maintaining consistent quality and velocity across all. Your responsibilities What You Will Lead Technical Ownership Set the technical strategy for IAG's agentic architecture, including orchestration patterns, tool integration, memory, evaluation and runtime governance. Create and drive adoption of reusable agent components that accelerate delivery across all operating companies. Make sound architecture decisions on model selection, GraphRAG, RAG optimisation, LangGraph patterns and model cost modelling. Agentic Engineering Leadership Lead and mentor a small multi-disciplinary technical team building enterprise-grade AI agents integrated with complex airline systems, working across London and Barcelona Drive a culture of excellence by developing talent, managing performance rigorously and shaping a team that delivers at elite level Provide engineering leadership across internal teams and external technology partners, ensuring consistency of standards and delivery quality. Establish technical best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph, AutoGen and other agent frameworks. Implement strong engineering discipline, including observability, safety, automated evaluation, behavioural testing and continuous improvement. Matrix and Partner Leadership Operate effectively in a matrix environment spanning Group, OpCos, cloud, data and security teams. Coordinate and influence multiple delivery streams to ensure alignment, technical coherence and consistent engineering standards. Manage and guide external partners, ensuring work meets IAG's quality, cost and velocity expectations. Platform and Architecture Leadership Shape the Group's lightweight GenAI abstraction layer, enabling fast, predictable and secure route-to-live. Own agile technical governance with auditable decisions, clear architecture documentation and rapid escalation of risks. Maintain a sharp external radar on AI evolution and benchmark vendor capabilities, reliability and cost. Product and Delivery Impact Work with product leads to ensure technical designs deliver genuine, measurable EBIT impact. Identify quick-start approaches that left-shift value during discovery. Build a developer experience that encourages rapid adoption of AI components across the Group. Stakeholder Influence Build strong relationships across all airlines and influence at CDIO-1 level. Represent the AI engineering strategy to the Group CTO, CDAO, CISO and cloud/data platform leaders. Support Group-wide AI upskilling through contributions to the AI Academy curriculum. Your skills, experience and qualifications Qualifications, Experience and Qualities 15+ years of engineering leadership with proven experience delivering complex software systems at scale. Direct experience architecting and delivering production AI agents with measurable business impact. Deep technical command of the OpenAI ecosystem, including model orchestration, tool calling, evaluation and runtime optimisation. Strong experience with Anthropic, Azure OpenAI and at least one other agent framework such as LangGraph or AutoGen. Proven ability to lead both internal engineering teams and external partner teams to consistent, high-quality outcomes. Strong track record operating in a matrix environment, influencing without direct authority and aligning diverse stakeholders. Demonstrated ability to integrate LLM-based agents with enterprise systems, APIs, RPA, orchestration platforms and internal tools. Strong grounding in DevSecOps, cloud-native architecture, observability and CI/CD. Ability to translate complex technical considerations into simple, concise narratives for senior executives. Evidence of succeeding in fast-paced, ambiguous, high-stakes environments. Ability to travel internally (within Europe) on a weekly basis, where required, to work with the team and stakeholders. Nice-to-haves Airline or travel industry experience. Experience building reusable platform components adopted across multiple business units. Experience with model hosting, fine-tuning, distillation or model evaluation frameworks. Experience with globally distributed teams and multi-vendor delivery ecosystems. You are likely a great fit if you Thrive at the intersection of architecture, engineering craft and delivery. Cut through fog quickly and favour practical, high-value solutions. Stay ahead of AI evolution and separate hype from substance instantly. Inspire and challenge senior engineers while maintaining strong engineering discipline. Communicate with clarity, confidence and zero waffle. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
May 05, 2026
Full time
About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are hiring a AI Engineering Product Manager for our Multi-Tech Agentic Engineering team to lead the technical direction, engineering discipline and delivery velocity of IAG's next generation of agentic AI products. This is a hands-on senior technical leadership role. You must have real experience leading teams that build production-grade AI agents, not just theoretical experiments or hackathon projects. You will be the technical authority across agent frameworks, orchestration patterns, memory design and guardrails. You will report to the Group Head of Technology and work within the product oversight of the Group Head of Cognitive Automation. You will shape how we build, scale and operate a multi-vendor agent ecosystem across OpenAI, Anthropic, Microsoft Azure, LangGraph, AutoGen and other emerging frameworks. You will also lead in a matrix environment, working across multiple airlines, central teams, external partners and offshore/nearshore engineering units. You must be comfortable directing both internal engineering teams and partner-led delivery teams, maintaining consistent quality and velocity across all. Your responsibilities What You Will Lead Technical Ownership Set the technical strategy for IAG's agentic architecture, including orchestration patterns, tool integration, memory, evaluation and runtime governance. Create and drive adoption of reusable agent components that accelerate delivery across all operating companies. Make sound architecture decisions on model selection, GraphRAG, RAG optimisation, LangGraph patterns and model cost modelling. Agentic Engineering Leadership Lead and mentor a small multi-disciplinary technical team building enterprise-grade AI agents integrated with complex airline systems, working across London and Barcelona Drive a culture of excellence by developing talent, managing performance rigorously and shaping a team that delivers at elite level Provide engineering leadership across internal teams and external technology partners, ensuring consistency of standards and delivery quality. Establish technical best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph, AutoGen and other agent frameworks. Implement strong engineering discipline, including observability, safety, automated evaluation, behavioural testing and continuous improvement. Matrix and Partner Leadership Operate effectively in a matrix environment spanning Group, OpCos, cloud, data and security teams. Coordinate and influence multiple delivery streams to ensure alignment, technical coherence and consistent engineering standards. Manage and guide external partners, ensuring work meets IAG's quality, cost and velocity expectations. Platform and Architecture Leadership Shape the Group's lightweight GenAI abstraction layer, enabling fast, predictable and secure route-to-live. Own agile technical governance with auditable decisions, clear architecture documentation and rapid escalation of risks. Maintain a sharp external radar on AI evolution and benchmark vendor capabilities, reliability and cost. Product and Delivery Impact Work with product leads to ensure technical designs deliver genuine, measurable EBIT impact. Identify quick-start approaches that left-shift value during discovery. Build a developer experience that encourages rapid adoption of AI components across the Group. Stakeholder Influence Build strong relationships across all airlines and influence at CDIO-1 level. Represent the AI engineering strategy to the Group CTO, CDAO, CISO and cloud/data platform leaders. Support Group-wide AI upskilling through contributions to the AI Academy curriculum. Your skills, experience and qualifications Qualifications, Experience and Qualities 15+ years of engineering leadership with proven experience delivering complex software systems at scale. Direct experience architecting and delivering production AI agents with measurable business impact. Deep technical command of the OpenAI ecosystem, including model orchestration, tool calling, evaluation and runtime optimisation. Strong experience with Anthropic, Azure OpenAI and at least one other agent framework such as LangGraph or AutoGen. Proven ability to lead both internal engineering teams and external partner teams to consistent, high-quality outcomes. Strong track record operating in a matrix environment, influencing without direct authority and aligning diverse stakeholders. Demonstrated ability to integrate LLM-based agents with enterprise systems, APIs, RPA, orchestration platforms and internal tools. Strong grounding in DevSecOps, cloud-native architecture, observability and CI/CD. Ability to translate complex technical considerations into simple, concise narratives for senior executives. Evidence of succeeding in fast-paced, ambiguous, high-stakes environments. Ability to travel internally (within Europe) on a weekly basis, where required, to work with the team and stakeholders. Nice-to-haves Airline or travel industry experience. Experience building reusable platform components adopted across multiple business units. Experience with model hosting, fine-tuning, distillation or model evaluation frameworks. Experience with globally distributed teams and multi-vendor delivery ecosystems. You are likely a great fit if you Thrive at the intersection of architecture, engineering craft and delivery. Cut through fog quickly and favour practical, high-value solutions. Stay ahead of AI evolution and separate hype from substance instantly. Inspire and challenge senior engineers while maintaining strong engineering discipline. Communicate with clarity, confidence and zero waffle. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
Principal Mechanical Engineer page is loaded Principal Mechanical Engineerremote type: Hybridlocations: Cambridgetime type: Full timeposted on: Posted 2 Days Agojob requisition id: R45925Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.Sentec, a Xylem brand, seeks to hire an Principal Mechanical Engineer to lead our talented mechanical engineering skill group.As Principal, you will lead a mechanical engineering team on high-value, technically challenging projects, internal to Xylem and external clients. You will own mechanical architecture and key technical decisions and act as subject-matter expert in mechanical design, materials, and manufacturing. You will deliver innovative mechanical solutions from early concept through detailed design and industrialisation and validation testing. You will work directly with Xylem partners and external clients to understand requirements and translate them into robust engineering solutions, contribute to project planning, technical reporting and support proposal writing, technical scoping, and effort estimation.As a senior colleague, you will mentor and develop junior and mid-level engineers and scientists, foster a collaborative, high-performance engineering culture and set engineering best practice. You will also be responsible for supporting project management as well as business development activities under the guidance of the respective teams. The position is largely based in our Cambridge office however you will have the opportunity for some travel, this could be UK-wide, within Europe, the United States or the Far East. At Sentec you will be working in a rapidly evolving industry at an exciting time for technologists developing solutions in multiple sectors with a strong emphasis on sustainability. In order to be successful you will need to demonstrate leadership in pursuit of technical solutions and novel ideas, have a hands-on approach to problem solving and ultimately managing projects against time, budget and client expectations. This role combines hands-on engineering, technical decision-making, project and team leadership within a fast-paced consultancy environment spanning multiple sectors, working towards deadlines and delivering excellent technical solutions. You will be required to communicate effectively in a wide range of environments, both with colleagues and clients and will have the opportunity to develop your negotiation skills and expand your technical knowledge. Minimum Qualifications: Education, Experience, Skills, Abilities, License/Certification: Extensive experience (10+ years) in mechanical engineering / product development Experience in people leadership, preferably in mechanical engineering Strong 3D CAD capability (principally Creo but SolidWorks also advantageous) Proven experience taking products from concept to manufacture Hands-on experience making parts and building prototypes Experience dealing with 3rd party suppliers such as engineering workshops, plastic fabricators, hardware suppliers Excellent understanding of materials, tolerancing, and manufacturing processes Experience working in multidisciplinary teams (physics, electronics, software) Minimum 2/1 Degree (or equivalent) in Mechanical Engineering or related discipline Desirable Skills/Knowledge: Background in consultancy or contract R&D environments Experience with machinery such as lathes and milling machines Experience with 3D printing, both internal and bureau Experience in one or more sectors such as: Sensing technology such as optical, magnetic, ultrasonic Consumer and industrial products Scientific instrumentation Water infrastructure Sustainable energy Knowledge of regulatory or quality systems (e.g. ISO 13485, ISO 9001) Experience with FEA, thermal analysis, or other simulation Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Regularly required to sit or stand, reach, bend and move about the facility Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Office: Standard office equipment; work usually performed in an office or site laboratory setting Estimated 10 % or less travel requirement Standard weekly job hours: 37.5 hours Benefits Include: Competitive salaries Holiday of 25 days per year, increases with length of service Group life cover at 4 times basic salary Private health care Salary sacrifice pension scheme Relocation expenses as appropriate Annual performance and merit process Discretionary 10% All staff bonus scheme Employee referral bonus scheme Access to flexible benefits including cycle to work, critical illness cover and green car leasing Flexible and remote workingJoin the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.background, skills and interests.
May 05, 2026
Full time
Principal Mechanical Engineer page is loaded Principal Mechanical Engineerremote type: Hybridlocations: Cambridgetime type: Full timeposted on: Posted 2 Days Agojob requisition id: R45925Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.Sentec, a Xylem brand, seeks to hire an Principal Mechanical Engineer to lead our talented mechanical engineering skill group.As Principal, you will lead a mechanical engineering team on high-value, technically challenging projects, internal to Xylem and external clients. You will own mechanical architecture and key technical decisions and act as subject-matter expert in mechanical design, materials, and manufacturing. You will deliver innovative mechanical solutions from early concept through detailed design and industrialisation and validation testing. You will work directly with Xylem partners and external clients to understand requirements and translate them into robust engineering solutions, contribute to project planning, technical reporting and support proposal writing, technical scoping, and effort estimation.As a senior colleague, you will mentor and develop junior and mid-level engineers and scientists, foster a collaborative, high-performance engineering culture and set engineering best practice. You will also be responsible for supporting project management as well as business development activities under the guidance of the respective teams. The position is largely based in our Cambridge office however you will have the opportunity for some travel, this could be UK-wide, within Europe, the United States or the Far East. At Sentec you will be working in a rapidly evolving industry at an exciting time for technologists developing solutions in multiple sectors with a strong emphasis on sustainability. In order to be successful you will need to demonstrate leadership in pursuit of technical solutions and novel ideas, have a hands-on approach to problem solving and ultimately managing projects against time, budget and client expectations. This role combines hands-on engineering, technical decision-making, project and team leadership within a fast-paced consultancy environment spanning multiple sectors, working towards deadlines and delivering excellent technical solutions. You will be required to communicate effectively in a wide range of environments, both with colleagues and clients and will have the opportunity to develop your negotiation skills and expand your technical knowledge. Minimum Qualifications: Education, Experience, Skills, Abilities, License/Certification: Extensive experience (10+ years) in mechanical engineering / product development Experience in people leadership, preferably in mechanical engineering Strong 3D CAD capability (principally Creo but SolidWorks also advantageous) Proven experience taking products from concept to manufacture Hands-on experience making parts and building prototypes Experience dealing with 3rd party suppliers such as engineering workshops, plastic fabricators, hardware suppliers Excellent understanding of materials, tolerancing, and manufacturing processes Experience working in multidisciplinary teams (physics, electronics, software) Minimum 2/1 Degree (or equivalent) in Mechanical Engineering or related discipline Desirable Skills/Knowledge: Background in consultancy or contract R&D environments Experience with machinery such as lathes and milling machines Experience with 3D printing, both internal and bureau Experience in one or more sectors such as: Sensing technology such as optical, magnetic, ultrasonic Consumer and industrial products Scientific instrumentation Water infrastructure Sustainable energy Knowledge of regulatory or quality systems (e.g. ISO 13485, ISO 9001) Experience with FEA, thermal analysis, or other simulation Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Regularly required to sit or stand, reach, bend and move about the facility Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Office: Standard office equipment; work usually performed in an office or site laboratory setting Estimated 10 % or less travel requirement Standard weekly job hours: 37.5 hours Benefits Include: Competitive salaries Holiday of 25 days per year, increases with length of service Group life cover at 4 times basic salary Private health care Salary sacrifice pension scheme Relocation expenses as appropriate Annual performance and merit process Discretionary 10% All staff bonus scheme Employee referral bonus scheme Access to flexible benefits including cycle to work, critical illness cover and green car leasing Flexible and remote workingJoin the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.background, skills and interests.
About Atos Group Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI powered, end to end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris. About Practice Our Digital Transformation Consulting (DTC) business brings together a global community of consultants delivering innovative, ethical and sustainable digital solutions across public and private sectors. We operate in complex, highly regulated environments and partner with clients to modernize technology, operating models and digital capabilities. Diverse Project Exposure End to end ownership of technical solution design and delivery across client engagements. Design and delivery of interesting, client facing digital solutions. Responsibility for driving implementation and managing technical delivery. Mentoring junior team members as part of solution delivery. Professional Development We prioritise career advancement within a collaborative team environment. Whether you are looking to move into leadership or deepen your technical expertise, we provide the support to help you achieve your career goals. Working Model Hybrid working model with a balance of client site, office, and home working. Role Overview and Expectations We are seeking an experienced Executive Digital Technology Consultant to join our Digital Transformation Consulting Architecture Practice. The role combines client architecture advisory, solution design, and delivery accountability across complex digital transformation programmes. You will lead engagements or workstreams, shape solution architectures, manage senior client relationships, and contribute to the growth of the practice. You will bring a strong passion for delivering digital transformation through architecture, designing solutions that can be successfully implemented within client contexts. You are an experienced problem solver who thrives in complex, ambiguous environments, works confidently across sectors, and engages senior stakeholders with clarity, credibility, and authority, supported by a strong interest in architecture development and emerging digital technologies. Must Have Requirements Experience designing and delivering solutions on hyperscaler platforms such as Azure, AWS, or Google Cloud. Ability to design solutions encompassing applications, cloud, and integration architectures, including microservices, APIs, and event driven systems. Experience with TOGAF (or equivalent) and ArchiMate modelling, with an understanding of AI concepts. Public sector delivery experience or experience within a regulated industry. Strong communication skills, operating as a client facing Solution Architect designing end to end digital solution architectures. Additional Requirements UK mobility required, with regular client site engagement. Holding an active Security clearance, or eligibility for Security Clearance. Benefits 25 days of Annual leave + an option to purchase more through our Flexible Benefits. Flex benefits system - exciting opportunity to choose your own benefits. Retail discounts. Pension - matching contribution up to 10%. Private Medical Scheme. Life Assurance. Opportunities to learn in Atos Training platforms. Additional Information As a Disability Confident employer, we encourage applications from all applicants, especially differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to make reasonable adjustments to the application and assessment process to accommodate your needs. We are a care leaver friendly employer. If you require additional support with your application, please contact our Recruiter Mihaela Perelighin on LinkedIn or send an email to our dedicated mailbox . Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.
May 05, 2026
Full time
About Atos Group Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI powered, end to end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris. About Practice Our Digital Transformation Consulting (DTC) business brings together a global community of consultants delivering innovative, ethical and sustainable digital solutions across public and private sectors. We operate in complex, highly regulated environments and partner with clients to modernize technology, operating models and digital capabilities. Diverse Project Exposure End to end ownership of technical solution design and delivery across client engagements. Design and delivery of interesting, client facing digital solutions. Responsibility for driving implementation and managing technical delivery. Mentoring junior team members as part of solution delivery. Professional Development We prioritise career advancement within a collaborative team environment. Whether you are looking to move into leadership or deepen your technical expertise, we provide the support to help you achieve your career goals. Working Model Hybrid working model with a balance of client site, office, and home working. Role Overview and Expectations We are seeking an experienced Executive Digital Technology Consultant to join our Digital Transformation Consulting Architecture Practice. The role combines client architecture advisory, solution design, and delivery accountability across complex digital transformation programmes. You will lead engagements or workstreams, shape solution architectures, manage senior client relationships, and contribute to the growth of the practice. You will bring a strong passion for delivering digital transformation through architecture, designing solutions that can be successfully implemented within client contexts. You are an experienced problem solver who thrives in complex, ambiguous environments, works confidently across sectors, and engages senior stakeholders with clarity, credibility, and authority, supported by a strong interest in architecture development and emerging digital technologies. Must Have Requirements Experience designing and delivering solutions on hyperscaler platforms such as Azure, AWS, or Google Cloud. Ability to design solutions encompassing applications, cloud, and integration architectures, including microservices, APIs, and event driven systems. Experience with TOGAF (or equivalent) and ArchiMate modelling, with an understanding of AI concepts. Public sector delivery experience or experience within a regulated industry. Strong communication skills, operating as a client facing Solution Architect designing end to end digital solution architectures. Additional Requirements UK mobility required, with regular client site engagement. Holding an active Security clearance, or eligibility for Security Clearance. Benefits 25 days of Annual leave + an option to purchase more through our Flexible Benefits. Flex benefits system - exciting opportunity to choose your own benefits. Retail discounts. Pension - matching contribution up to 10%. Private Medical Scheme. Life Assurance. Opportunities to learn in Atos Training platforms. Additional Information As a Disability Confident employer, we encourage applications from all applicants, especially differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to make reasonable adjustments to the application and assessment process to accommodate your needs. We are a care leaver friendly employer. If you require additional support with your application, please contact our Recruiter Mihaela Perelighin on LinkedIn or send an email to our dedicated mailbox . Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.
One of the first sustainability consulting firms in the United States, Brightworks Sustainability has enjoyed a position of leadership and innovation in sustainability since its founding in 2001. We help our clients establish and implement operational sustainability programs that reduce their environmental footprints, advance their sustainability journeys, and increase their operational performance. Brightworks' creative and multi-disciplinary staff offer expertise in the following areas: Expertise Areas Sustainable and Healthy Buildings Sustainable and Healthy Materials Energy Analysis and Optimization Building Performance, Operations, and Maintenance Corporate Sustainability and ESG Programs Our major clients include leading technology firms, higher education institutions, life science organizations, and municipal entities. We provide our clients with unique solutions for the challenges they face meeting sustainability, innovation and community impact goals. unique to their organizations. Your Experience as a Member of Brightworks' Team Making a difference High degree of flexibility Learning and growth Great clients and projects Recognition for performance Competitive compensation You will be treated as an important strategic contributor, and you will be expected to make important contributions to the business while growing professionally, intellectually, personally, socially, and financially. A certified B Corp since 2010, Brightworks Sustainability is committed to benefiting society while serving its customers. Brightworks has received B Corp's "Best for the Environment" and "Best for Workers" honors. Compensation / Total Rewards Brightworks Sustainability is Tier 2 Leading Living Wage Certified. Our salaries are competitive and commensurate with experience. Additionally, we provide generous employee benefits. Equal Employment We are committed to an inclusive workplace that reflects the diversity of the communities we serve. We welcome application from candidates of all backgrounds and identities and are an equal opportunity employer under the Equality Act 2010. About This Role The Senior Sustainable and Healthy Buildings Consultant plays a critical role in advancing sustainability initiatives, often managing complex projects or a portfolio of projects within a single account, leading efforts to pursue certifications that validate and enhance building performance. This role ensures the seamless integration of sustainability attributes across the project, while delivering scope on budget and on schedule. The Consultant may be required to coordinate the work of other stakeholders, both internal and external. Senior Consultants lead a team of people, provide guidance, technical expertise, and mentorship, and develop long-term relationships with clients. Essential Duties For This Role Manage complex green building certification workflows, coordinate internal and external team members to deliver. Manage projects from start to finish (including contracts, invoicing, and timesheet approvals), overseeing the work of junior team members, collaborating with internal and external stakeholders on innovative solutions. Perform analyses to evaluate project performance (e.g., indoor water use) against third party standard sustainability metrics and perform QA/QC reviews of analyses conducted by team members. Design and assign work for others. Provide timely, constructive feedback. Support the growth of direct reports towards independence. Allow mistakes without allowing failures. Contribute to practice-level organization and staff resourcing. Results Industry Leadership - Contributes to external industry activities, board involvement, speaking, volunteerism. Firm Leadership - Leads strategic initiatives, internal programs, and innovation or research and development efforts. Team Leadership - Management of Internal team members - direct and indirect reports. Client Satisfaction - Positive client experience verified via survey/project close out meeting. Team Satisfaction - Service contribution and cross service collaboration, mentorship, support of mission and values. Individual Responsibilities - Timesheets, expense reports, invoicing, contracts are completed on time consistently, no more than two submitted after deadline on a quarterly basis. Individual Billability - Meets individual utilization target on an annual basis, within +/- 5% on a quarterly basis. Team Billability - Meets team utilization target on an annual basis, within +/- 5% on a quarterly basis. Projects Overseen - Number of projects managed at lowest to most complex level. Firm Profit Contribution - Total amount of profit generated by PG, DG, or PM as appropriate. Project Contribution - Recognition for self and/or team's ability to meet project/service profitability targets. Sales - Involvement in generating and building new and upselling existing clients. Revenue - Team's ability to meet revenue targets. Specific Knowledge, Skills, and Abilities Apply sound and diverse knowledge of sustainability principles and practices to a broad array of assignments. Project management competence, skill, and effectiveness at planning, initiating, delivering, and controlling projects. Perform work requiring independent judgement in evaluation, selection, and adaptation/modification of standard approach. Solicit input/technical guidance from Leads on unusual or complex issues. Lead complex client facing projects and collaborate with senior staff to clarify high level client goals, staffing resources, project budget, and expected deliverables. Supervise, oversee and mentor internal team members so that they develop the knowledge, skills, and capabilities to deliver projects within scope, on budget, on schedule, and in the Brightworks way. Oversee, guide, and QA/QC the delivery of technical analyses, presentations, communications and deliverables to clients within scope, on budget, on schedule. Develop and maintain strong relationships based on expertise, competence, openness, initiative, and trust with existing and prospective clients, practice area leaders, and influencers within the industry. Maintain control of the project financials and contracting, complete invoicing, timesheet, and expense approvals per firm timelines. Proactively engage the finance team to address complex issues and meet common goals. Provide input to senior staff to help win projects and meet the company's profitability criteria. Support the firm's practice development through acquiring technical expertise, collaborating on firm innovations, and matching industry leadership in sustainability with client needs. Foster honest, productive communications throughout the entire firm to support project delivery, business development, and operations. Education & Experience This position requires a Bachelor's degree in a relevant field, e.g., engineering, architecture, construction management, environmental science, sustainability, planning, or related disciplines. Relevant coursework or internships in sustainability, green building, or project management. 5-8 years of experience in a complementary field of green building or sustainability project management with at least six years of experience in green building project management. Qualifications Ability to perform essential job duties with or without reasonable accommodation and without posing a direct threat to safety or health of employee or others. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential duties. Supervisory Responsibilities This position may directly supervise a small team of staff in Grades 1-3. This position may also mentor or oversee other team members to complete discrete tasks or perform roles on projects. This position carries out supervisory responsibilities in accordance with organizational policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. Reports To Sustainable and Healthy Buildings Grade 5 Service Lead, Technical Lead, or Practice Lead or Grade 6 Director. Travel Requirements This position may require infrequent travel for up to 5% of the position, including overnight or multiple days.
May 05, 2026
Full time
One of the first sustainability consulting firms in the United States, Brightworks Sustainability has enjoyed a position of leadership and innovation in sustainability since its founding in 2001. We help our clients establish and implement operational sustainability programs that reduce their environmental footprints, advance their sustainability journeys, and increase their operational performance. Brightworks' creative and multi-disciplinary staff offer expertise in the following areas: Expertise Areas Sustainable and Healthy Buildings Sustainable and Healthy Materials Energy Analysis and Optimization Building Performance, Operations, and Maintenance Corporate Sustainability and ESG Programs Our major clients include leading technology firms, higher education institutions, life science organizations, and municipal entities. We provide our clients with unique solutions for the challenges they face meeting sustainability, innovation and community impact goals. unique to their organizations. Your Experience as a Member of Brightworks' Team Making a difference High degree of flexibility Learning and growth Great clients and projects Recognition for performance Competitive compensation You will be treated as an important strategic contributor, and you will be expected to make important contributions to the business while growing professionally, intellectually, personally, socially, and financially. A certified B Corp since 2010, Brightworks Sustainability is committed to benefiting society while serving its customers. Brightworks has received B Corp's "Best for the Environment" and "Best for Workers" honors. Compensation / Total Rewards Brightworks Sustainability is Tier 2 Leading Living Wage Certified. Our salaries are competitive and commensurate with experience. Additionally, we provide generous employee benefits. Equal Employment We are committed to an inclusive workplace that reflects the diversity of the communities we serve. We welcome application from candidates of all backgrounds and identities and are an equal opportunity employer under the Equality Act 2010. About This Role The Senior Sustainable and Healthy Buildings Consultant plays a critical role in advancing sustainability initiatives, often managing complex projects or a portfolio of projects within a single account, leading efforts to pursue certifications that validate and enhance building performance. This role ensures the seamless integration of sustainability attributes across the project, while delivering scope on budget and on schedule. The Consultant may be required to coordinate the work of other stakeholders, both internal and external. Senior Consultants lead a team of people, provide guidance, technical expertise, and mentorship, and develop long-term relationships with clients. Essential Duties For This Role Manage complex green building certification workflows, coordinate internal and external team members to deliver. Manage projects from start to finish (including contracts, invoicing, and timesheet approvals), overseeing the work of junior team members, collaborating with internal and external stakeholders on innovative solutions. Perform analyses to evaluate project performance (e.g., indoor water use) against third party standard sustainability metrics and perform QA/QC reviews of analyses conducted by team members. Design and assign work for others. Provide timely, constructive feedback. Support the growth of direct reports towards independence. Allow mistakes without allowing failures. Contribute to practice-level organization and staff resourcing. Results Industry Leadership - Contributes to external industry activities, board involvement, speaking, volunteerism. Firm Leadership - Leads strategic initiatives, internal programs, and innovation or research and development efforts. Team Leadership - Management of Internal team members - direct and indirect reports. Client Satisfaction - Positive client experience verified via survey/project close out meeting. Team Satisfaction - Service contribution and cross service collaboration, mentorship, support of mission and values. Individual Responsibilities - Timesheets, expense reports, invoicing, contracts are completed on time consistently, no more than two submitted after deadline on a quarterly basis. Individual Billability - Meets individual utilization target on an annual basis, within +/- 5% on a quarterly basis. Team Billability - Meets team utilization target on an annual basis, within +/- 5% on a quarterly basis. Projects Overseen - Number of projects managed at lowest to most complex level. Firm Profit Contribution - Total amount of profit generated by PG, DG, or PM as appropriate. Project Contribution - Recognition for self and/or team's ability to meet project/service profitability targets. Sales - Involvement in generating and building new and upselling existing clients. Revenue - Team's ability to meet revenue targets. Specific Knowledge, Skills, and Abilities Apply sound and diverse knowledge of sustainability principles and practices to a broad array of assignments. Project management competence, skill, and effectiveness at planning, initiating, delivering, and controlling projects. Perform work requiring independent judgement in evaluation, selection, and adaptation/modification of standard approach. Solicit input/technical guidance from Leads on unusual or complex issues. Lead complex client facing projects and collaborate with senior staff to clarify high level client goals, staffing resources, project budget, and expected deliverables. Supervise, oversee and mentor internal team members so that they develop the knowledge, skills, and capabilities to deliver projects within scope, on budget, on schedule, and in the Brightworks way. Oversee, guide, and QA/QC the delivery of technical analyses, presentations, communications and deliverables to clients within scope, on budget, on schedule. Develop and maintain strong relationships based on expertise, competence, openness, initiative, and trust with existing and prospective clients, practice area leaders, and influencers within the industry. Maintain control of the project financials and contracting, complete invoicing, timesheet, and expense approvals per firm timelines. Proactively engage the finance team to address complex issues and meet common goals. Provide input to senior staff to help win projects and meet the company's profitability criteria. Support the firm's practice development through acquiring technical expertise, collaborating on firm innovations, and matching industry leadership in sustainability with client needs. Foster honest, productive communications throughout the entire firm to support project delivery, business development, and operations. Education & Experience This position requires a Bachelor's degree in a relevant field, e.g., engineering, architecture, construction management, environmental science, sustainability, planning, or related disciplines. Relevant coursework or internships in sustainability, green building, or project management. 5-8 years of experience in a complementary field of green building or sustainability project management with at least six years of experience in green building project management. Qualifications Ability to perform essential job duties with or without reasonable accommodation and without posing a direct threat to safety or health of employee or others. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential duties. Supervisory Responsibilities This position may directly supervise a small team of staff in Grades 1-3. This position may also mentor or oversee other team members to complete discrete tasks or perform roles on projects. This position carries out supervisory responsibilities in accordance with organizational policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. Reports To Sustainable and Healthy Buildings Grade 5 Service Lead, Technical Lead, or Practice Lead or Grade 6 Director. Travel Requirements This position may require infrequent travel for up to 5% of the position, including overnight or multiple days.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Managing Consultant - Architecture within Consumer and Manufacturing We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Why consider joining our Consumer and Manufacturing community as an Architecture Managing Consultant? Join a team where you're trusted to shape your own path, manage your time, and influence real change for our clients and communities. Grow a flexible and unique career within a trust-based,inclusive environment that values excellence, innovation, and curiosity. Be part of a team actively shaping Consumer and Manufacturing and tackling issues that impact our everyday lives Join other experts within our supportive and collaborative community through knowledge-sharing and peer-level support, coaching and mentoring What you can expect Be part of our management team, helping shape and launch new service propositions while driving strategic business growth. Lead business development initiatives -building trusted client relationships, owning outcomes, and delivering innovative, high-impact solutions. Collaborate with FTSE 100 clients as a respected advisor, guiding them through complex challenges with clarity and creativity. Support your team's growth through coaching, knowledge-sharing, and creating opportunities for them to thrive. Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. Proven experience leading architecture and development teams, delivering impactful, end-to-end solutions for complex client challenges. Strong understanding of the Consumer and Manufacturing sector, with experience across areas such as banking, insurance, payments, or wealth management. Demonstrated ability to shape and communicate architectural strategies across multiple domains (application, business, integration). Skilled at building trusted relationships with senior stakeholders, translating technical insight into business value. Track record of contributing to business development, including pre-sales, proposal development, and client engagement. Familiarity with architecture frameworks and modelling tools (e.g. UML, ArchiMate), with awareness of emerging trends and technologies. An established network of senior stakeholders within the financial services sector, with a proven ability to nurture and expand relationships that support business development and long term client partnerships. While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud native architectures, UML, ArchiMate Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Introductory Call with one of our senior Talent Acquisition partners to explore your background, the opportunity and PA. Round 1: 3x competency interviews, allowing you to meet different members of PA. Final Round : Business plan presentation with PA leaders - you will be given guidance and time to prepare in advance. Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Hybrid Working- Our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on client site. Adjustments or accommodations- Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
May 05, 2026
Full time
Managing Consultant - Architecture within Consumer and Manufacturing We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Why consider joining our Consumer and Manufacturing community as an Architecture Managing Consultant? Join a team where you're trusted to shape your own path, manage your time, and influence real change for our clients and communities. Grow a flexible and unique career within a trust-based,inclusive environment that values excellence, innovation, and curiosity. Be part of a team actively shaping Consumer and Manufacturing and tackling issues that impact our everyday lives Join other experts within our supportive and collaborative community through knowledge-sharing and peer-level support, coaching and mentoring What you can expect Be part of our management team, helping shape and launch new service propositions while driving strategic business growth. Lead business development initiatives -building trusted client relationships, owning outcomes, and delivering innovative, high-impact solutions. Collaborate with FTSE 100 clients as a respected advisor, guiding them through complex challenges with clarity and creativity. Support your team's growth through coaching, knowledge-sharing, and creating opportunities for them to thrive. Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. Proven experience leading architecture and development teams, delivering impactful, end-to-end solutions for complex client challenges. Strong understanding of the Consumer and Manufacturing sector, with experience across areas such as banking, insurance, payments, or wealth management. Demonstrated ability to shape and communicate architectural strategies across multiple domains (application, business, integration). Skilled at building trusted relationships with senior stakeholders, translating technical insight into business value. Track record of contributing to business development, including pre-sales, proposal development, and client engagement. Familiarity with architecture frameworks and modelling tools (e.g. UML, ArchiMate), with awareness of emerging trends and technologies. An established network of senior stakeholders within the financial services sector, with a proven ability to nurture and expand relationships that support business development and long term client partnerships. While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud native architectures, UML, ArchiMate Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Introductory Call with one of our senior Talent Acquisition partners to explore your background, the opportunity and PA. Round 1: 3x competency interviews, allowing you to meet different members of PA. Final Round : Business plan presentation with PA leaders - you will be given guidance and time to prepare in advance. Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Hybrid Working- Our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on client site. Adjustments or accommodations- Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
